The Dark Side of Artificial Intelligence
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Contents
- Copyright, scope, and responsible-use note
- Dedication
- Preface
- How to use this book
- Chapter 1. Understanding the Dark Side: A Balanced Starting Point
- Chapter 2. How AI Works—and Why It Can Fail
- Chapter 3. Hallucinations, False Confidence, and the Collapse of Verification
- Chapter 4. Bias, Discrimination, and Unequal Outcomes
- Chapter 5. Deepfakes, Disinformation, and the Crisis of Trust
- Chapter 6. Privacy, Data Exploitation, and Surveillance
- Chapter 7. Cybersecurity, Fraud, and AI-Enabled Abuse
- Chapter 8. Human Dependency, Deskilling, and Psychological Effects
- Chapter 9. Work, Inequality, Power, and the Socio-Economic Divide
- Chapter 10. Education, Research, Copyright, and Academic Integrity
- Chapter 11. High-Stakes AI: Health, Finance, Justice, and Public Services
- Chapter 12. Environmental Costs and Hidden Infrastructure
- Chapter 13. Governance, Regulation, Ethics, and Accountability
- Chapter 14. What Is Needed Today—and What Is Not
- Chapter 15. A Practical Framework for Responsible AI Adoption
- Chapter 16. The Future: Scenarios, Uncertainty, and Human Choices
- Appendix A. Everyday AI Safety Checklist
- Appendix B. Organisational AI Policy Template
- Appendix C. AI Risk Register Template
- Appendix D. A 90-Day Responsible AI Plan
- Appendix E. Glossary
- References and Further Reading
- Official resources for ongoing monitoring
- About the authors
- Editorial note for publication